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diffusion-topk-saes
dmanningcoe/diffusion-topk-saes
diffusion-topk-saes is a machine learning model from dmanningcoe. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Complete artifact release for the DSM/diffusion temporal-dictionary research arc (2026-08-10 to 08-13). Start with docs/2026-08-13dsmpostmortem.md — the program verdict and claim ledger. Theory: docs/2026-08-12birdtra…
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Updated Aug 13, 2026
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Aug 11, 2026
- Updated
- Aug 13, 2026
- SHA
- bf0cc648
Model card
From the Hugging Face model README
diffusion-topk-saes
Complete artifact release for the DSM/diffusion temporal-dictionary
research arc (2026-08-10 to 08-13). Start with
docs/2026-08-13_dsm_postmortem.md — the program verdict and claim
ledger. Theory: docs/2026-08-12_bird_transfer_theory.md (covering-law
derivations with pre-registered, subsequently-tested predictions).
Checkpoints: Gemma-2-2B per-token pairs (10M + 100M token budgets),
bayes_gate family, and Llama-3.1-8B / R1-Distill window-6 dictionaries
(FineWeb, mixed-corpus, and distill-captured). evals/ holds every
detection, steering, controls, and survivor-battery result JSON;
probes/ the OOD-collapse and pullback probes. Headline results: a
norm-matched random-direction control nullifies conventional
activation steering while a trace-trained temporal crosscoder retains a
+0.42 directional component; DSM training concentrates dictionaries
per a covering law but adds no information beyond reconstruction on
behavioural evals.
- License
- apache-2.0
- Created
- Aug 11, 2026
- Updated
- Aug 13, 2026